Sentence examples for between migration propensity and from inspiring English sources

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IV results confirm the non-linear relationship between migration propensity and wealth.

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Neoplasms with variable lifespan blood vessels evolved higher values for the migration propensity and maximum migration distance than the other two resource input models (Figure 1).

This between-year drop in density, during a period of low and relatively similar rainfall, provides the opportunity for studying the density-dependence response in migration propensity and associated benefits at a population scale while controlling for rainfall.

However, we did not detect any evidence for an influence of density on migration propensity and on the benefit associated with migration.

In the model, the parameter values for the mutation standard deviation of migration propensity (sdp) and maximum migration distance (sdm) affect the rate of evolution and are set empirically.

Using an index of household wealth as a proxy for permanent income, we confirm the non-linear relationship between wealth and migration propensity, in line with other studies on emigrant selection in developing countries (McKenzie and Rapoport 2007; Fernandez-Huertas Moraga 2013).

We confirm, in the Egyptian context, the non-linear relationship between household resources and migration propensity, due to migration costs; a larger network of past emigrants from the same community mitigates this selection on wealth, increasing the propensity to migrate among poorer households.

To start with, Table 4 reports simple descriptive statistics for migration propensity by treatment and by year.

Investigating the relationship between the individual physiologic, genetic or social characteristics and their migration propensity would be a relevant direction for future researches.

Coefficients on wealth and its square are both positive: thus, in a locality with low networks (low past migration prevalence), migration propensity increases monotonously with wealth.

aMultivariate analyses modelling the migration propensities of men and women using logit probability models has confirmed that marital status is differentially significant in the migration projects of men and women.

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